diff options
Diffstat (limited to 'nerv/layer')
| -rw-r--r-- | nerv/layer/lstm.lua | 6 | ||||
| -rw-r--r-- | nerv/layer/lstm_gate.lua | 7 |
2 files changed, 10 insertions, 3 deletions
diff --git a/nerv/layer/lstm.lua b/nerv/layer/lstm.lua index 5dbcc20..56f674a 100644 --- a/nerv/layer/lstm.lua +++ b/nerv/layer/lstm.lua @@ -29,9 +29,9 @@ function LSTMLayer:__init(id, global_conf, layer_conf) outputTanh = {dim_in = {dout}, dim_out = {dout}}, }, ['nerv.LSTMGateLayer'] = { - forgetGate = {dim_in = {din, dout, dout}, dim_out = {dout}, pr = pr}, - inputGate = {dim_in = {din, dout, dout}, dim_out = {dout}, pr = pr}, - outputGate = {dim_in = {din, dout, dout}, dim_out = {dout}, pr = pr}, + forgetGate = {dim_in = {din, dout, dout}, dim_out = {dout}, param_type = {'N', 'N', 'D'}, pr = pr}, + inputGate = {dim_in = {din, dout, dout}, dim_out = {dout}, param_type = {'N', 'N', 'D'}, pr = pr}, + outputGate = {dim_in = {din, dout, dout}, dim_out = {dout}, param_type = {'N', 'N', 'D'}, pr = pr}, }, ['nerv.ElemMulLayer'] = { inputGateMul = {dim_in = {dout, dout}, dim_out = {dout}}, diff --git a/nerv/layer/lstm_gate.lua b/nerv/layer/lstm_gate.lua index 7a27bab..e690721 100644 --- a/nerv/layer/lstm_gate.lua +++ b/nerv/layer/lstm_gate.lua @@ -3,6 +3,7 @@ local LSTMGateLayer = nerv.class('nerv.LSTMGateLayer', 'nerv.Layer') function LSTMGateLayer:__init(id, global_conf, layer_conf) nerv.Layer.__init(self, id, global_conf, layer_conf) + self.param_type = layer_conf.param_type self:check_dim_len(-1, 1) --accept multiple inputs self:bind_params() end @@ -12,6 +13,9 @@ function LSTMGateLayer:bind_params() self["ltp" .. i] = self:find_param("ltp" .. i, self.lconf, self.gconf, nerv.LinearTransParam, {self.dim_in[i], self.dim_out[1]}) + if self.param_type[i] == 'D' then + self["ltp" .. i].trans:diagonalize() + end end self.bp = self:find_param("bp", self.lconf, self.gconf, nerv.BiasParam, {1, self.dim_out[1]}) @@ -63,6 +67,9 @@ function LSTMGateLayer:update(bp_err, input, output) self.err_bakm:sigmoid_grad(bp_err[1], output[1]) for i = 1, #self.dim_in do self["ltp" .. i]:update_by_err_input(self.err_bakm, input[i]) + if self.param_type[i] == 'D' then + self["ltp" .. i].trans:diagonalize() + end end self.bp:update_by_gradient(self.err_bakm:colsum()) end |